FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
This presentation demonstrates how engineering and science students can use the MATLAB technical computing environment to develop a deeper understanding of complex multi domain applications. A quadcopter UAV example is used as a case study to connect the fundamental mathematical concepts introduced in the earlier years of a science/engineering degree, to the numerical methods and control design concepts taught in the later years.
Using the quadcopter case study, we’ll demonstrate how the following deeper learning attributes are encouraged:
How complex problems can be broken down into a series of smaller problems.
How these smaller problems can then be “glued” together to form a holistic view of the original problem.
How curiosity is fostered by providing students with choices on how to solve a problem (eg: apps, code, block diagrams) – choices that encourage “creating” and “doing”
How independent exploration of concepts is encouraged via access to numerical computing libraries.
How positive emotions to learning are fostered by a HELP/DOC system that acts as an ever present companion during the learning and discovery process.
Some of the learning tasks considered in this presentation include:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (building, solving, implementing equations, and incorporating the rotation matrix concepts along the way)
How to linearize a 6-DOF model and design controllers for altitude and attitude control

published:29 Jun 2017

views:90

Want to learn to do more than just hover your quadcopter? This flight tutorial video will help you learn how to fly and turn your quadcopter. Horizontal translational flying is not obvious to most people. We'll start the lesson with simple out and back flying, progress through rudder turns, and complete the lesson with an intro to banked turning. Quadcopters used in this video included the:
Syma X5C http://www.banggood.com/Syma-X5C-Explorers-2_4G-4CH-RC-Quadcopter-Mode-2-With-Camera-p-913827.html?p=RB0922217402201307U3
WLToys V636 http://www.banggood.com/WLtoys-Skylark-V636-Headless-Mode-2_4G-4CH-6-Axis-RC-Quadcopter-RTF-p-938098.html?p=RB0922217402201307U3
MUSIC LICENSE
"Awel" by stefsax
http://ccmixter.org/files/stefsax/7785
is licensed under a Creative Commons license:
http://creativecommons.org/licenses/by/2.5/
music was shortened to fit length of video.

published:20 Dec 2014

views:382159

Walt Bednarz puts the Prism Quadcopter through the paces of simulated vibration analysis using SOLIDWORKSSimulation. Let's see if the Prism Quadcopter will rattle apart once up and running. During this webinar, we will cover the use of natural frequency and forced vibration to validate designs.

published:16 Nov 2015

views:7881

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image saliency or appearance contrast; we propose a different approach based on a DeepNeural Network used as a supervised image classifier. By operating on the whole image at once, our system outputs the main direction of the trail compared to the viewing direction. Qualitative and quantitative results computed on a large real-world dataset (which we provide for download) show that our approach outperforms alternatives, and yields an accuracy comparable to the accuracy of humans that are tested on the same image classification task. Preliminary results on using this information for quadrotor control in unseen trails are reported. To the best of our knowledge, this is the first paper that describes an approach to perceive forest trials which is demonstrated on a quadrotor micro aerial vehicle.
Reference:
A. Giusti, J. Guzzi, D.C. Ciresan, F. He, J.P. Rodrï¿½guez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. Di Caro, D. Scaramuzza, L.M. Gambardella
A Machine LearningApproach to Visual Perception of Forest Trails for Mobile RobotsIEEE Robotics and AutomationLetters (RA-L), pages 661 - 667, 2016
PDF: http://rpg.ifi.uzh.ch/docs/RAL16_Giusti.pdf
Datasets:
http://people.idsia.ch/~giusti/forest/web/
Affiliations:
Dalle Molle Institute for Artificial Intelligence (IDSIA), USI/SUPSI, Lugano Switzerland
http://www.idsia.ch/
Robotics and PerceptionGroup, University of Zurich, Switzerland
http://rpg.ifi.uzh.ch/
AAAIVideoCompetition 2016
http://aaaivideos.org

published:01 Feb 2016

views:91560

In this video I try to build a basic platform for a quadcopter with salvaged motors from small axial fans and some other household items.
These (like all PC-Fans) are powered by BLDCs (Brushles DC-Motors). You cannot reverse their rotation by changing the POLARITY . That only works with old fashioned "Brushed DC Motors".
Model number of the Server Power Supply: HP - DPS - 700 CB-A.
I recommend you not to buy this unit simply for this unit . A wide variety of fan -motors, salvagable from several devices / manufacturers could be used.
Support my channel:
Patreon:
https://www.patreon.com/TPAI
Paypal:
https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=inventordonations%40gmail%2ecom&lc=US&item_name=The%20Post%20Apocalyptic%20Inventor&no_note=0&currency_code=USD&bn=PP-DonationsBF%3abtn_donateCC_LG%2egif%3aNonHostedGuest

published:21 Sep 2014

views:6687609

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying.
We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information.
Slides: http://www.slideshare.net/ryanboland18/quad-stripped
Presented at Code & Supply in Pittsburgh, PA. Learn more at http://www.codeandsupply.co

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
This presentation demonstrates how engineering and science students can use the MATLAB technical computing environment to develop a deeper understanding of complex multi domain applications. A quadcopter UAV example is used as a case study to connect the fundamental mathematical concepts introduced in the earlier years of a science/engineering degree, to the numerical methods and control design concepts taught in the later years.
Using the quadcopter case study, we’ll demonstrate how the following deeper learning attributes are encouraged:
How complex problems can be broken down into a series of smaller problems.
How these smaller problems can then be “glued” together to form a holistic view of the original problem.
How curiosity is fostered by providing students with choices on how to solve a problem (eg: apps, code, block diagrams) – choices that encourage “creating” and “doing”
How independent exploration of concepts is encouraged via access to numerical computing libraries.
How positive emotions to learning are fostered by a HELP/DOC system that acts as an ever present companion during the learning and discovery process.
Some of the learning tasks considered in this presentation include:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (building, solving, implementing equations, and incorporating the rotation matrix concepts along the way)
How to linearize a 6-DOF model and design controllers for altitude and attitude control

14:41

Quadcopter Drone Flying Lessons

Quadcopter Drone Flying Lessons

Quadcopter Drone Flying Lessons

Want to learn to do more than just hover your quadcopter? This flight tutorial video will help you learn how to fly and turn your quadcopter. Horizontal translational flying is not obvious to most people. We'll start the lesson with simple out and back flying, progress through rudder turns, and complete the lesson with an intro to banked turning. Quadcopters used in this video included the:
Syma X5C http://www.banggood.com/Syma-X5C-Explorers-2_4G-4CH-RC-Quadcopter-Mode-2-With-Camera-p-913827.html?p=RB0922217402201307U3
WLToys V636 http://www.banggood.com/WLtoys-Skylark-V636-Headless-Mode-2_4G-4CH-6-Axis-RC-Quadcopter-RTF-p-938098.html?p=RB0922217402201307U3
MUSIC LICENSE
"Awel" by stefsax
http://ccmixter.org/files/stefsax/7785
is licensed under a Creative Commons license:
http://creativecommons.org/licenses/by/2.5/
music was shortened to fit length of video.

28:45

Vibration Analysis of a Quadcopter

Vibration Analysis of a Quadcopter

Vibration Analysis of a Quadcopter

Walt Bednarz puts the Prism Quadcopter through the paces of simulated vibration analysis using SOLIDWORKSSimulation. Let's see if the Prism Quadcopter will rattle apart once up and running. During this webinar, we will cover the use of natural frequency and forced vibration to validate designs.

4:57

Quadcopter Navigation in the Forest using Deep Neural Networks

Quadcopter Navigation in the Forest using Deep Neural Networks

Quadcopter Navigation in the Forest using Deep Neural Networks

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image saliency or appearance contrast; we propose a different approach based on a DeepNeural Network used as a supervised image classifier. By operating on the whole image at once, our system outputs the main direction of the trail compared to the viewing direction. Qualitative and quantitative results computed on a large real-world dataset (which we provide for download) show that our approach outperforms alternatives, and yields an accuracy comparable to the accuracy of humans that are tested on the same image classification task. Preliminary results on using this information for quadrotor control in unseen trails are reported. To the best of our knowledge, this is the first paper that describes an approach to perceive forest trials which is demonstrated on a quadrotor micro aerial vehicle.
Reference:
A. Giusti, J. Guzzi, D.C. Ciresan, F. He, J.P. Rodrï¿½guez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. Di Caro, D. Scaramuzza, L.M. Gambardella
A Machine LearningApproach to Visual Perception of Forest Trails for Mobile RobotsIEEE Robotics and AutomationLetters (RA-L), pages 661 - 667, 2016
PDF: http://rpg.ifi.uzh.ch/docs/RAL16_Giusti.pdf
Datasets:
http://people.idsia.ch/~giusti/forest/web/
Affiliations:
Dalle Molle Institute for Artificial Intelligence (IDSIA), USI/SUPSI, Lugano Switzerland
http://www.idsia.ch/
Robotics and PerceptionGroup, University of Zurich, Switzerland
http://rpg.ifi.uzh.ch/
AAAIVideoCompetition 2016
http://aaaivideos.org

8:29

Building a Cheap Quadcopter At Home (1) - Lift Off

Building a Cheap Quadcopter At Home (1) - Lift Off

Building a Cheap Quadcopter At Home (1) - Lift Off

In this video I try to build a basic platform for a quadcopter with salvaged motors from small axial fans and some other household items.
These (like all PC-Fans) are powered by BLDCs (Brushles DC-Motors). You cannot reverse their rotation by changing the POLARITY . That only works with old fashioned "Brushed DC Motors".
Model number of the Server Power Supply: HP - DPS - 700 CB-A.
I recommend you not to buy this unit simply for this unit . A wide variety of fan -motors, salvagable from several devices / manufacturers could be used.
Support my channel:
Patreon:
https://www.patreon.com/TPAI
Paypal:
https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=inventordonations%40gmail%2ecom&lc=US&item_name=The%20Post%20Apocalyptic%20Inventor&no_note=0&currency_code=USD&bn=PP-DonationsBF%3abtn_donateCC_LG%2egif%3aNonHostedGuest

53:37

Embedded Programming for Quadcopters

Embedded Programming for Quadcopters

Embedded Programming for Quadcopters

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying.
We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information.
Slides: http://www.slideshare.net/ryanboland18/quad-stripped
Presented at Code & Supply in Pittsburgh, PA. Learn more at http://www.codeandsupply.co

Study break - Quadcopter

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
This presentation demonstrates how engineering and science students can use the MATLAB technical computing environment to develop a deeper understanding of complex multi domain applications. A quadcopter UAV example is used as a case study to connect the fundamental mathematical concepts introduced in the earlier years of a science/engineering degree, to the numerical methods and control design concepts taught in the later years.
Using the quadcopter case study, we’ll demonstrate how the following deeper lear...

published: 29 Jun 2017

Quadcopter Drone Flying Lessons

Want to learn to do more than just hover your quadcopter? This flight tutorial video will help you learn how to fly and turn your quadcopter. Horizontal translational flying is not obvious to most people. We'll start the lesson with simple out and back flying, progress through rudder turns, and complete the lesson with an intro to banked turning. Quadcopters used in this video included the:
Syma X5C http://www.banggood.com/Syma-X5C-Explorers-2_4G-4CH-RC-Quadcopter-Mode-2-With-Camera-p-913827.html?p=RB0922217402201307U3
WLToys V636 http://www.banggood.com/WLtoys-Skylark-V636-Headless-Mode-2_4G-4CH-6-Axis-RC-Quadcopter-RTF-p-938098.html?p=RB0922217402201307U3
MUSIC LICENSE
"Awel" by stefsax
http://ccmixter.org/files/stefsax/7785
is licensed under a Creative Commons license:
http://creati...

published: 20 Dec 2014

Vibration Analysis of a Quadcopter

Walt Bednarz puts the Prism Quadcopter through the paces of simulated vibration analysis using SOLIDWORKSSimulation. Let's see if the Prism Quadcopter will rattle apart once up and running. During this webinar, we will cover the use of natural frequency and forced vibration to validate designs.

published: 16 Nov 2015

Quadcopter Navigation in the Forest using Deep Neural Networks

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image saliency or appearance contrast; we propose a different approach based on a DeepNeural Network used as a supervised image classifier. By operating on the whole image at once, our system outputs the main direction of the trail compared to the viewing direction. Qualitative and quantitative results computed on a large real-world dataset (which we provide for download) show that our approach outperforms alternatives, and yields an accuracy comparable to the accuracy of humans that are tested on the same image classification task. Preliminary ...

published: 01 Feb 2016

Building a Cheap Quadcopter At Home (1) - Lift Off

In this video I try to build a basic platform for a quadcopter with salvaged motors from small axial fans and some other household items.
These (like all PC-Fans) are powered by BLDCs (Brushles DC-Motors). You cannot reverse their rotation by changing the POLARITY . That only works with old fashioned "Brushed DC Motors".
Model number of the Server Power Supply: HP - DPS - 700 CB-A.
I recommend you not to buy this unit simply for this unit . A wide variety of fan -motors, salvagable from several devices / manufacturers could be used.
Support my channel:
Patreon:
https://www.patreon.com/TPAI
Paypal:
https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=inventordonations%40gmail%2ecom&lc=US&item_name=The%20Post%20Apocalyptic%20Inventor&no_note=0&currency_code=USD&bn=PP-Donati...

published: 21 Sep 2014

Embedded Programming for Quadcopters

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying.
We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information.
Slides: http://www.slideshare.net/ryanboland18/quad-stripped
Presented at Code & Supply in Pittsburgh, PA. Learn more at http://www.codeandsupply.co

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
This presentation demonstrates how engineering and science students can use the MATLAB technical computing environment to develop a deeper understanding of complex multi domain applications. A quadcopter UAV example is used as a case study to connect the fundamental mathematical concepts introduced in the earlier years of a science/engineering degree, to the numerical methods and control design concepts taught in the later years.
Using the quadcopter case study, we’ll demonstrate how the following deeper learning attributes are encouraged:
How complex problems can be broken down into a series of smaller problems.
How these smaller problems can then be “glued” together to form a holistic view of the original problem.
How curiosity is fostered by providing students with choices on how to solve a problem (eg: apps, code, block diagrams) – choices that encourage “creating” and “doing”
How independent exploration of concepts is encouraged via access to numerical computing libraries.
How positive emotions to learning are fostered by a HELP/DOC system that acts as an ever present companion during the learning and discovery process.
Some of the learning tasks considered in this presentation include:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (building, solving, implementing equations, and incorporating the rotation matrix concepts along the way)
How to linearize a 6-DOF model and design controllers for altitude and attitude control

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
This presentation demonstrates how engineering and science students can use the MATLAB technical computing environment to develop a deeper understanding of complex multi domain applications. A quadcopter UAV example is used as a case study to connect the fundamental mathematical concepts introduced in the earlier years of a science/engineering degree, to the numerical methods and control design concepts taught in the later years.
Using the quadcopter case study, we’ll demonstrate how the following deeper learning attributes are encouraged:
How complex problems can be broken down into a series of smaller problems.
How these smaller problems can then be “glued” together to form a holistic view of the original problem.
How curiosity is fostered by providing students with choices on how to solve a problem (eg: apps, code, block diagrams) – choices that encourage “creating” and “doing”
How independent exploration of concepts is encouraged via access to numerical computing libraries.
How positive emotions to learning are fostered by a HELP/DOC system that acts as an ever present companion during the learning and discovery process.
Some of the learning tasks considered in this presentation include:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (building, solving, implementing equations, and incorporating the rotation matrix concepts along the way)
How to linearize a 6-DOF model and design controllers for altitude and attitude control

Quadcopter Drone Flying Lessons

Want to learn to do more than just hover your quadcopter? This flight tutorial video will help you learn how to fly and turn your quadcopter. Horizontal transla...

Want to learn to do more than just hover your quadcopter? This flight tutorial video will help you learn how to fly and turn your quadcopter. Horizontal translational flying is not obvious to most people. We'll start the lesson with simple out and back flying, progress through rudder turns, and complete the lesson with an intro to banked turning. Quadcopters used in this video included the:
Syma X5C http://www.banggood.com/Syma-X5C-Explorers-2_4G-4CH-RC-Quadcopter-Mode-2-With-Camera-p-913827.html?p=RB0922217402201307U3
WLToys V636 http://www.banggood.com/WLtoys-Skylark-V636-Headless-Mode-2_4G-4CH-6-Axis-RC-Quadcopter-RTF-p-938098.html?p=RB0922217402201307U3
MUSIC LICENSE
"Awel" by stefsax
http://ccmixter.org/files/stefsax/7785
is licensed under a Creative Commons license:
http://creativecommons.org/licenses/by/2.5/
music was shortened to fit length of video.

Want to learn to do more than just hover your quadcopter? This flight tutorial video will help you learn how to fly and turn your quadcopter. Horizontal translational flying is not obvious to most people. We'll start the lesson with simple out and back flying, progress through rudder turns, and complete the lesson with an intro to banked turning. Quadcopters used in this video included the:
Syma X5C http://www.banggood.com/Syma-X5C-Explorers-2_4G-4CH-RC-Quadcopter-Mode-2-With-Camera-p-913827.html?p=RB0922217402201307U3
WLToys V636 http://www.banggood.com/WLtoys-Skylark-V636-Headless-Mode-2_4G-4CH-6-Axis-RC-Quadcopter-RTF-p-938098.html?p=RB0922217402201307U3
MUSIC LICENSE
"Awel" by stefsax
http://ccmixter.org/files/stefsax/7785
is licensed under a Creative Commons license:
http://creativecommons.org/licenses/by/2.5/
music was shortened to fit length of video.

Walt Bednarz puts the Prism Quadcopter through the paces of simulated vibration analysis using SOLIDWORKSSimulation. Let's see if the Prism Quadcopter will rattle apart once up and running. During this webinar, we will cover the use of natural frequency and forced vibration to validate designs.

Walt Bednarz puts the Prism Quadcopter through the paces of simulated vibration analysis using SOLIDWORKSSimulation. Let's see if the Prism Quadcopter will rattle apart once up and running. During this webinar, we will cover the use of natural frequency and forced vibration to validate designs.

Quadcopter Navigation in the Forest using Deep Neural Networks

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself....

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image saliency or appearance contrast; we propose a different approach based on a DeepNeural Network used as a supervised image classifier. By operating on the whole image at once, our system outputs the main direction of the trail compared to the viewing direction. Qualitative and quantitative results computed on a large real-world dataset (which we provide for download) show that our approach outperforms alternatives, and yields an accuracy comparable to the accuracy of humans that are tested on the same image classification task. Preliminary results on using this information for quadrotor control in unseen trails are reported. To the best of our knowledge, this is the first paper that describes an approach to perceive forest trials which is demonstrated on a quadrotor micro aerial vehicle.
Reference:
A. Giusti, J. Guzzi, D.C. Ciresan, F. He, J.P. Rodrï¿½guez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. Di Caro, D. Scaramuzza, L.M. Gambardella
A Machine LearningApproach to Visual Perception of Forest Trails for Mobile RobotsIEEE Robotics and AutomationLetters (RA-L), pages 661 - 667, 2016
PDF: http://rpg.ifi.uzh.ch/docs/RAL16_Giusti.pdf
Datasets:
http://people.idsia.ch/~giusti/forest/web/
Affiliations:
Dalle Molle Institute for Artificial Intelligence (IDSIA), USI/SUPSI, Lugano Switzerland
http://www.idsia.ch/
Robotics and PerceptionGroup, University of Zurich, Switzerland
http://rpg.ifi.uzh.ch/
AAAIVideoCompetition 2016
http://aaaivideos.org

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image saliency or appearance contrast; we propose a different approach based on a DeepNeural Network used as a supervised image classifier. By operating on the whole image at once, our system outputs the main direction of the trail compared to the viewing direction. Qualitative and quantitative results computed on a large real-world dataset (which we provide for download) show that our approach outperforms alternatives, and yields an accuracy comparable to the accuracy of humans that are tested on the same image classification task. Preliminary results on using this information for quadrotor control in unseen trails are reported. To the best of our knowledge, this is the first paper that describes an approach to perceive forest trials which is demonstrated on a quadrotor micro aerial vehicle.
Reference:
A. Giusti, J. Guzzi, D.C. Ciresan, F. He, J.P. Rodrï¿½guez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. Di Caro, D. Scaramuzza, L.M. Gambardella
A Machine LearningApproach to Visual Perception of Forest Trails for Mobile RobotsIEEE Robotics and AutomationLetters (RA-L), pages 661 - 667, 2016
PDF: http://rpg.ifi.uzh.ch/docs/RAL16_Giusti.pdf
Datasets:
http://people.idsia.ch/~giusti/forest/web/
Affiliations:
Dalle Molle Institute for Artificial Intelligence (IDSIA), USI/SUPSI, Lugano Switzerland
http://www.idsia.ch/
Robotics and PerceptionGroup, University of Zurich, Switzerland
http://rpg.ifi.uzh.ch/
AAAIVideoCompetition 2016
http://aaaivideos.org

Building a Cheap Quadcopter At Home (1) - Lift Off

In this video I try to build a basic platform for a quadcopter with salvaged motors from small axial fans and some other household items.
These (like all PC-Fan...

In this video I try to build a basic platform for a quadcopter with salvaged motors from small axial fans and some other household items.
These (like all PC-Fans) are powered by BLDCs (Brushles DC-Motors). You cannot reverse their rotation by changing the POLARITY . That only works with old fashioned "Brushed DC Motors".
Model number of the Server Power Supply: HP - DPS - 700 CB-A.
I recommend you not to buy this unit simply for this unit . A wide variety of fan -motors, salvagable from several devices / manufacturers could be used.
Support my channel:
Patreon:
https://www.patreon.com/TPAI
Paypal:
https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=inventordonations%40gmail%2ecom&lc=US&item_name=The%20Post%20Apocalyptic%20Inventor&no_note=0&currency_code=USD&bn=PP-DonationsBF%3abtn_donateCC_LG%2egif%3aNonHostedGuest

In this video I try to build a basic platform for a quadcopter with salvaged motors from small axial fans and some other household items.
These (like all PC-Fans) are powered by BLDCs (Brushles DC-Motors). You cannot reverse their rotation by changing the POLARITY . That only works with old fashioned "Brushed DC Motors".
Model number of the Server Power Supply: HP - DPS - 700 CB-A.
I recommend you not to buy this unit simply for this unit . A wide variety of fan -motors, salvagable from several devices / manufacturers could be used.
Support my channel:
Patreon:
https://www.patreon.com/TPAI
Paypal:
https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=inventordonations%40gmail%2ecom&lc=US&item_name=The%20Post%20Apocalyptic%20Inventor&no_note=0&currency_code=USD&bn=PP-DonationsBF%3abtn_donateCC_LG%2egif%3aNonHostedGuest

Embedded Programming for Quadcopters

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code wo...

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying.
We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information.
Slides: http://www.slideshare.net/ryanboland18/quad-stripped
Presented at Code & Supply in Pittsburgh, PA. Learn more at http://www.codeandsupply.co

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying.
We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information.
Slides: http://www.slideshare.net/ryanboland18/quad-stripped
Presented at Code & Supply in Pittsburgh, PA. Learn more at http://www.codeandsupply.co

Study break - Quadcopter

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
This presentation demonstrates how engineering and science students can use the MATLAB technical computing environment to develop a deeper understanding of complex multi domain applications. A quadcopter UAV example is used as a case study to connect the fundamental mathematical concepts introduced in the earlier years of a science/engineering degree, to the numerical methods and control design concepts taught in the later years.
Using the quadcopter case study, we’ll demonstrate how the following deeper lear...

published: 29 Jun 2017

Quadcopter Drone Flying Lessons

Want to learn to do more than just hover your quadcopter? This flight tutorial video will help you learn how to fly and turn your quadcopter. Horizontal translational flying is not obvious to most people. We'll start the lesson with simple out and back flying, progress through rudder turns, and complete the lesson with an intro to banked turning. Quadcopters used in this video included the:
Syma X5C http://www.banggood.com/Syma-X5C-Explorers-2_4G-4CH-RC-Quadcopter-Mode-2-With-Camera-p-913827.html?p=RB0922217402201307U3
WLToys V636 http://www.banggood.com/WLtoys-Skylark-V636-Headless-Mode-2_4G-4CH-6-Axis-RC-Quadcopter-RTF-p-938098.html?p=RB0922217402201307U3
MUSIC LICENSE
"Awel" by stefsax
http://ccmixter.org/files/stefsax/7785
is licensed under a Creative Commons license:
http://creati...

published: 20 Dec 2014

Vibration Analysis of a Quadcopter

Walt Bednarz puts the Prism Quadcopter through the paces of simulated vibration analysis using SOLIDWORKSSimulation. Let's see if the Prism Quadcopter will rattle apart once up and running. During this webinar, we will cover the use of natural frequency and forced vibration to validate designs.

published: 16 Nov 2015

Quadcopter Navigation in the Forest using Deep Neural Networks

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image saliency or appearance contrast; we propose a different approach based on a DeepNeural Network used as a supervised image classifier. By operating on the whole image at once, our system outputs the main direction of the trail compared to the viewing direction. Qualitative and quantitative results computed on a large real-world dataset (which we provide for download) show that our approach outperforms alternatives, and yields an accuracy comparable to the accuracy of humans that are tested on the same image classification task. Preliminary ...

published: 01 Feb 2016

Building a Cheap Quadcopter At Home (1) - Lift Off

In this video I try to build a basic platform for a quadcopter with salvaged motors from small axial fans and some other household items.
These (like all PC-Fans) are powered by BLDCs (Brushles DC-Motors). You cannot reverse their rotation by changing the POLARITY . That only works with old fashioned "Brushed DC Motors".
Model number of the Server Power Supply: HP - DPS - 700 CB-A.
I recommend you not to buy this unit simply for this unit . A wide variety of fan -motors, salvagable from several devices / manufacturers could be used.
Support my channel:
Patreon:
https://www.patreon.com/TPAI
Paypal:
https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=inventordonations%40gmail%2ecom&lc=US&item_name=The%20Post%20Apocalyptic%20Inventor&no_note=0&currency_code=USD&bn=PP-Donati...

published: 21 Sep 2014

Embedded Programming for Quadcopters

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying.
We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information.
Slides: http://www.slideshare.net/ryanboland18/quad-stripped
Presented at Code & Supply in Pittsburgh, PA. Learn more at http://www.codeandsupply.co

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
This presentation demonstrates how engineering and science students can use the MATLAB technical computing environment to develop a deeper understanding of complex multi domain applications. A quadcopter UAV example is used as a case study to connect the fundamental mathematical concepts introduced in the earlier years of a science/engineering degree, to the numerical methods and control design concepts taught in the later years.
Using the quadcopter case study, we’ll demonstrate how the following deeper learning attributes are encouraged:
How complex problems can be broken down into a series of smaller problems.
How these smaller problems can then be “glued” together to form a holistic view of the original problem.
How curiosity is fostered by providing students with choices on how to solve a problem (eg: apps, code, block diagrams) – choices that encourage “creating” and “doing”
How independent exploration of concepts is encouraged via access to numerical computing libraries.
How positive emotions to learning are fostered by a HELP/DOC system that acts as an ever present companion during the learning and discovery process.
Some of the learning tasks considered in this presentation include:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (building, solving, implementing equations, and incorporating the rotation matrix concepts along the way)
How to linearize a 6-DOF model and design controllers for altitude and attitude control

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
This presentation demonstrates how engineering and science students can use the MATLAB technical computing environment to develop a deeper understanding of complex multi domain applications. A quadcopter UAV example is used as a case study to connect the fundamental mathematical concepts introduced in the earlier years of a science/engineering degree, to the numerical methods and control design concepts taught in the later years.
Using the quadcopter case study, we’ll demonstrate how the following deeper learning attributes are encouraged:
How complex problems can be broken down into a series of smaller problems.
How these smaller problems can then be “glued” together to form a holistic view of the original problem.
How curiosity is fostered by providing students with choices on how to solve a problem (eg: apps, code, block diagrams) – choices that encourage “creating” and “doing”
How independent exploration of concepts is encouraged via access to numerical computing libraries.
How positive emotions to learning are fostered by a HELP/DOC system that acts as an ever present companion during the learning and discovery process.
Some of the learning tasks considered in this presentation include:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (building, solving, implementing equations, and incorporating the rotation matrix concepts along the way)
How to linearize a 6-DOF model and design controllers for altitude and attitude control

Quadcopter Drone Flying Lessons

Want to learn to do more than just hover your quadcopter? This flight tutorial video will help you learn how to fly and turn your quadcopter. Horizontal transla...

Want to learn to do more than just hover your quadcopter? This flight tutorial video will help you learn how to fly and turn your quadcopter. Horizontal translational flying is not obvious to most people. We'll start the lesson with simple out and back flying, progress through rudder turns, and complete the lesson with an intro to banked turning. Quadcopters used in this video included the:
Syma X5C http://www.banggood.com/Syma-X5C-Explorers-2_4G-4CH-RC-Quadcopter-Mode-2-With-Camera-p-913827.html?p=RB0922217402201307U3
WLToys V636 http://www.banggood.com/WLtoys-Skylark-V636-Headless-Mode-2_4G-4CH-6-Axis-RC-Quadcopter-RTF-p-938098.html?p=RB0922217402201307U3
MUSIC LICENSE
"Awel" by stefsax
http://ccmixter.org/files/stefsax/7785
is licensed under a Creative Commons license:
http://creativecommons.org/licenses/by/2.5/
music was shortened to fit length of video.

Want to learn to do more than just hover your quadcopter? This flight tutorial video will help you learn how to fly and turn your quadcopter. Horizontal translational flying is not obvious to most people. We'll start the lesson with simple out and back flying, progress through rudder turns, and complete the lesson with an intro to banked turning. Quadcopters used in this video included the:
Syma X5C http://www.banggood.com/Syma-X5C-Explorers-2_4G-4CH-RC-Quadcopter-Mode-2-With-Camera-p-913827.html?p=RB0922217402201307U3
WLToys V636 http://www.banggood.com/WLtoys-Skylark-V636-Headless-Mode-2_4G-4CH-6-Axis-RC-Quadcopter-RTF-p-938098.html?p=RB0922217402201307U3
MUSIC LICENSE
"Awel" by stefsax
http://ccmixter.org/files/stefsax/7785
is licensed under a Creative Commons license:
http://creativecommons.org/licenses/by/2.5/
music was shortened to fit length of video.

Walt Bednarz puts the Prism Quadcopter through the paces of simulated vibration analysis using SOLIDWORKSSimulation. Let's see if the Prism Quadcopter will rattle apart once up and running. During this webinar, we will cover the use of natural frequency and forced vibration to validate designs.

Walt Bednarz puts the Prism Quadcopter through the paces of simulated vibration analysis using SOLIDWORKSSimulation. Let's see if the Prism Quadcopter will rattle apart once up and running. During this webinar, we will cover the use of natural frequency and forced vibration to validate designs.

Quadcopter Navigation in the Forest using Deep Neural Networks

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself....

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image saliency or appearance contrast; we propose a different approach based on a DeepNeural Network used as a supervised image classifier. By operating on the whole image at once, our system outputs the main direction of the trail compared to the viewing direction. Qualitative and quantitative results computed on a large real-world dataset (which we provide for download) show that our approach outperforms alternatives, and yields an accuracy comparable to the accuracy of humans that are tested on the same image classification task. Preliminary results on using this information for quadrotor control in unseen trails are reported. To the best of our knowledge, this is the first paper that describes an approach to perceive forest trials which is demonstrated on a quadrotor micro aerial vehicle.
Reference:
A. Giusti, J. Guzzi, D.C. Ciresan, F. He, J.P. Rodrï¿½guez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. Di Caro, D. Scaramuzza, L.M. Gambardella
A Machine LearningApproach to Visual Perception of Forest Trails for Mobile RobotsIEEE Robotics and AutomationLetters (RA-L), pages 661 - 667, 2016
PDF: http://rpg.ifi.uzh.ch/docs/RAL16_Giusti.pdf
Datasets:
http://people.idsia.ch/~giusti/forest/web/
Affiliations:
Dalle Molle Institute for Artificial Intelligence (IDSIA), USI/SUPSI, Lugano Switzerland
http://www.idsia.ch/
Robotics and PerceptionGroup, University of Zurich, Switzerland
http://rpg.ifi.uzh.ch/
AAAIVideoCompetition 2016
http://aaaivideos.org

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image saliency or appearance contrast; we propose a different approach based on a DeepNeural Network used as a supervised image classifier. By operating on the whole image at once, our system outputs the main direction of the trail compared to the viewing direction. Qualitative and quantitative results computed on a large real-world dataset (which we provide for download) show that our approach outperforms alternatives, and yields an accuracy comparable to the accuracy of humans that are tested on the same image classification task. Preliminary results on using this information for quadrotor control in unseen trails are reported. To the best of our knowledge, this is the first paper that describes an approach to perceive forest trials which is demonstrated on a quadrotor micro aerial vehicle.
Reference:
A. Giusti, J. Guzzi, D.C. Ciresan, F. He, J.P. Rodrï¿½guez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. Di Caro, D. Scaramuzza, L.M. Gambardella
A Machine LearningApproach to Visual Perception of Forest Trails for Mobile RobotsIEEE Robotics and AutomationLetters (RA-L), pages 661 - 667, 2016
PDF: http://rpg.ifi.uzh.ch/docs/RAL16_Giusti.pdf
Datasets:
http://people.idsia.ch/~giusti/forest/web/
Affiliations:
Dalle Molle Institute for Artificial Intelligence (IDSIA), USI/SUPSI, Lugano Switzerland
http://www.idsia.ch/
Robotics and PerceptionGroup, University of Zurich, Switzerland
http://rpg.ifi.uzh.ch/
AAAIVideoCompetition 2016
http://aaaivideos.org

Building a Cheap Quadcopter At Home (1) - Lift Off

In this video I try to build a basic platform for a quadcopter with salvaged motors from small axial fans and some other household items.
These (like all PC-Fan...

In this video I try to build a basic platform for a quadcopter with salvaged motors from small axial fans and some other household items.
These (like all PC-Fans) are powered by BLDCs (Brushles DC-Motors). You cannot reverse their rotation by changing the POLARITY . That only works with old fashioned "Brushed DC Motors".
Model number of the Server Power Supply: HP - DPS - 700 CB-A.
I recommend you not to buy this unit simply for this unit . A wide variety of fan -motors, salvagable from several devices / manufacturers could be used.
Support my channel:
Patreon:
https://www.patreon.com/TPAI
Paypal:
https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=inventordonations%40gmail%2ecom&lc=US&item_name=The%20Post%20Apocalyptic%20Inventor&no_note=0&currency_code=USD&bn=PP-DonationsBF%3abtn_donateCC_LG%2egif%3aNonHostedGuest

In this video I try to build a basic platform for a quadcopter with salvaged motors from small axial fans and some other household items.
These (like all PC-Fans) are powered by BLDCs (Brushles DC-Motors). You cannot reverse their rotation by changing the POLARITY . That only works with old fashioned "Brushed DC Motors".
Model number of the Server Power Supply: HP - DPS - 700 CB-A.
I recommend you not to buy this unit simply for this unit . A wide variety of fan -motors, salvagable from several devices / manufacturers could be used.
Support my channel:
Patreon:
https://www.patreon.com/TPAI
Paypal:
https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=inventordonations%40gmail%2ecom&lc=US&item_name=The%20Post%20Apocalyptic%20Inventor&no_note=0&currency_code=USD&bn=PP-DonationsBF%3abtn_donateCC_LG%2egif%3aNonHostedGuest

Embedded Programming for Quadcopters

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code wo...

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying.
We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information.
Slides: http://www.slideshare.net/ryanboland18/quad-stripped
Presented at Code & Supply in Pittsburgh, PA. Learn more at http://www.codeandsupply.co

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying.
We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information.
Slides: http://www.slideshare.net/ryanboland18/quad-stripped
Presented at Code & Supply in Pittsburgh, PA. Learn more at http://www.codeandsupply.co

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
This presentation demonstrates how engineering and science students can use the MATLAB technical computing environment to develop a deeper understanding of complex multi domain applications. A quadcopter UAV example is used as a case study to connect the fundamental mathematical concepts introduced in the earlier years of a science/engineering degree, to the numerical methods and control design concepts taught in the later years.
Using the quadcopter case study, we’ll demonstrate how the following deeper lear...

published: 29 Jun 2017

Vibration Analysis of a Quadcopter

Walt Bednarz puts the Prism Quadcopter through the paces of simulated vibration analysis using SOLIDWORKSSimulation. Let's see if the Prism Quadcopter will rattle apart once up and running. During this webinar, we will cover the use of natural frequency and forced vibration to validate designs.

published: 16 Nov 2015

Embedded Programming for Quadcopters

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying.
We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information.
Slides: http://www.slideshare.net/ryanboland18/quad-stripped
Presented at Code & Supply in Pittsburgh, PA. Learn more at http://www.codeandsupply.co

published: 27 Feb 2015

Quadcopter Simulation and Control Made Easy - MATLAB and Simulink Video

See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1
Download a trial: https://goo.gl/PSa78r
Join MathWorks engineer, Ryan Gordon, as he demonstrates how to build a quadcopter simulation by importing data from a 3D CAD program into Simulink. Using this simulation he will then design a simple controller that will allow the vehicle to take off and hover. The modeling, simulation, and control principles used in this webinar can be applied to systems of varying complexity.
About the Presenter: Ryan Gordon has over 6 years of experience with MATLAB and Simulink. Prior to joining MathWorks Ryan developed guidance and control systems for unmanned aircraft.

published: 30 Apr 2017

Stress Analysis of a Quadcopter

The first of a 3 part webinar series. Walt Bednarz puts the Prism Quadcopter through the paces of simulated stress analysis using SOLIDWORKSSimulation. Watch to see if the Prism Quadcopter passes or fails as it is put through the paces of structural loading! Walt covers how you can use linear and nonlinear tools to validate designs

published: 05 Nov 2015

Solidworks tutorial | sketch Quadcopter (Drone) in Solidworks

in this tutorial video i will sketch 3D Printed Mini-Quadcopter (Drone) in Solidworks with the help of sketch, feature & Assembly tools. you can 3D print this model & make your mini Quadcopter or Drone.I hope you like it.
Please subscribe our channel for more videos and projects in Solidworks. Please Like and share Our videos.
Thanks for Watching.
1)Solidworks tutorial for Beginners.
https://www.youtube.com/playlist?list=PLRhna5_X7uWvED4RU95h9wl0wrpGMtFSb
2)Solidworks tutorial : Assembly
https://www.youtube.com/playlist?list=PLRhna5_X7uWuMiV9tgQV99KAqraMRegC1
3)Solidworks tutorial vertical Stirling Engine
https://www.youtube.com/playlist?list=PLRhna5_X7uWs0Eye3ZmpM9YVIfjdfRUNq
4)Solidworks tutorial Forklift
https://www.youtube.com/playlist?list=PLRhna5_X7uWv3iuq6rq7AX3EWqSXHv6et
5)So...

published: 28 Nov 2016

Cheap-ass quadcopter build Part 4 - Motors

Mounting the motors and checking their rotation direction.

published: 15 Dec 2014

Tutorial 3 Quadcopter simulation and motion analysis by using solidworks

This is the third video of " Make your drone" educational series, it's divided into two parts, the first part concern on simulation of the quadcopter on solidworks, and the second part concern on motion analysis of the the quadcopter.
Instructor: Eng. Ahmed Gad ( Solidworks certified )
These manuals are very important for solidworks learners.
Simulation + motion anaylsis + Mechatronics manuals
http://www.mediafire.com/view/d7412l5k2bs3957/PMT1142-ENG_SWM2011_DRAFT.pdf
http://www.mediafire.com/view/drelfifj0p6j1xe/PMT1340_SIM2013_DRAFT.pdf
http://www.mediafire.com/view/drelfifj0p6j1xe/PMT1340_SIM2013_DRAFT.pdf
Facebook page:
www.fb.com/uavclub
Website:
www.uavsc.com

Modelling Simulation and Control of a Quadcopter - MATLAB and Simulink Video

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
This session reviews how engineering and science students use software simulation tools to develop a deeper understanding of complex multidomain applications. A quadcopter UAV example is used to showcase how the fundamental mathematics concepts introduced in the earlier years of a science or engineering degree work hand in hand with the higher-level numerical methods and control design concepts taught in the later years.
The session demonstrates:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (buildin...

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
This presentation demonstrates how engineering and science students can use the MATLAB technical computing environment to develop a deeper understanding of complex multi domain applications. A quadcopter UAV example is used as a case study to connect the fundamental mathematical concepts introduced in the earlier years of a science/engineering degree, to the numerical methods and control design concepts taught in the later years.
Using the quadcopter case study, we’ll demonstrate how the following deeper learning attributes are encouraged:
How complex problems can be broken down into a series of smaller problems.
How these smaller problems can then be “glued” together to form a holistic view of the original problem.
How curiosity is fostered by providing students with choices on how to solve a problem (eg: apps, code, block diagrams) – choices that encourage “creating” and “doing”
How independent exploration of concepts is encouraged via access to numerical computing libraries.
How positive emotions to learning are fostered by a HELP/DOC system that acts as an ever present companion during the learning and discovery process.
Some of the learning tasks considered in this presentation include:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (building, solving, implementing equations, and incorporating the rotation matrix concepts along the way)
How to linearize a 6-DOF model and design controllers for altitude and attitude control

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
This presentation demonstrates how engineering and science students can use the MATLAB technical computing environment to develop a deeper understanding of complex multi domain applications. A quadcopter UAV example is used as a case study to connect the fundamental mathematical concepts introduced in the earlier years of a science/engineering degree, to the numerical methods and control design concepts taught in the later years.
Using the quadcopter case study, we’ll demonstrate how the following deeper learning attributes are encouraged:
How complex problems can be broken down into a series of smaller problems.
How these smaller problems can then be “glued” together to form a holistic view of the original problem.
How curiosity is fostered by providing students with choices on how to solve a problem (eg: apps, code, block diagrams) – choices that encourage “creating” and “doing”
How independent exploration of concepts is encouraged via access to numerical computing libraries.
How positive emotions to learning are fostered by a HELP/DOC system that acts as an ever present companion during the learning and discovery process.
Some of the learning tasks considered in this presentation include:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (building, solving, implementing equations, and incorporating the rotation matrix concepts along the way)
How to linearize a 6-DOF model and design controllers for altitude and attitude control

Walt Bednarz puts the Prism Quadcopter through the paces of simulated vibration analysis using SOLIDWORKSSimulation. Let's see if the Prism Quadcopter will rattle apart once up and running. During this webinar, we will cover the use of natural frequency and forced vibration to validate designs.

Walt Bednarz puts the Prism Quadcopter through the paces of simulated vibration analysis using SOLIDWORKSSimulation. Let's see if the Prism Quadcopter will rattle apart once up and running. During this webinar, we will cover the use of natural frequency and forced vibration to validate designs.

Embedded Programming for Quadcopters

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code wo...

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying.
We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information.
Slides: http://www.slideshare.net/ryanboland18/quad-stripped
Presented at Code & Supply in Pittsburgh, PA. Learn more at http://www.codeandsupply.co

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying.
We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information.
Slides: http://www.slideshare.net/ryanboland18/quad-stripped
Presented at Code & Supply in Pittsburgh, PA. Learn more at http://www.codeandsupply.co

published:27 Feb 2015

views:9884

back

Quadcopter Simulation and Control Made Easy - MATLAB and Simulink Video

See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1
Download a trial: https://goo.gl/PSa78r
Join MathWorks engineer, Ryan Gordon,...

See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1
Download a trial: https://goo.gl/PSa78r
Join MathWorks engineer, Ryan Gordon, as he demonstrates how to build a quadcopter simulation by importing data from a 3D CAD program into Simulink. Using this simulation he will then design a simple controller that will allow the vehicle to take off and hover. The modeling, simulation, and control principles used in this webinar can be applied to systems of varying complexity.
About the Presenter: Ryan Gordon has over 6 years of experience with MATLAB and Simulink. Prior to joining MathWorks Ryan developed guidance and control systems for unmanned aircraft.

See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1
Download a trial: https://goo.gl/PSa78r
Join MathWorks engineer, Ryan Gordon, as he demonstrates how to build a quadcopter simulation by importing data from a 3D CAD program into Simulink. Using this simulation he will then design a simple controller that will allow the vehicle to take off and hover. The modeling, simulation, and control principles used in this webinar can be applied to systems of varying complexity.
About the Presenter: Ryan Gordon has over 6 years of experience with MATLAB and Simulink. Prior to joining MathWorks Ryan developed guidance and control systems for unmanned aircraft.

The first of a 3 part webinar series. Walt Bednarz puts the Prism Quadcopter through the paces of simulated stress analysis using SOLIDWORKSSimulation. Watch to see if the Prism Quadcopter passes or fails as it is put through the paces of structural loading! Walt covers how you can use linear and nonlinear tools to validate designs

The first of a 3 part webinar series. Walt Bednarz puts the Prism Quadcopter through the paces of simulated stress analysis using SOLIDWORKSSimulation. Watch to see if the Prism Quadcopter passes or fails as it is put through the paces of structural loading! Walt covers how you can use linear and nonlinear tools to validate designs

Tutorial 3 Quadcopter simulation and motion analysis by using solidworks

This is the third video of " Make your drone" educational series, it's divided into two parts, the first part concern on simulation of the quadcopter on solidw...

This is the third video of " Make your drone" educational series, it's divided into two parts, the first part concern on simulation of the quadcopter on solidworks, and the second part concern on motion analysis of the the quadcopter.
Instructor: Eng. Ahmed Gad ( Solidworks certified )
These manuals are very important for solidworks learners.
Simulation + motion anaylsis + Mechatronics manuals
http://www.mediafire.com/view/d7412l5k2bs3957/PMT1142-ENG_SWM2011_DRAFT.pdf
http://www.mediafire.com/view/drelfifj0p6j1xe/PMT1340_SIM2013_DRAFT.pdf
http://www.mediafire.com/view/drelfifj0p6j1xe/PMT1340_SIM2013_DRAFT.pdf
Facebook page:
www.fb.com/uavclub
Website:
www.uavsc.com

This is the third video of " Make your drone" educational series, it's divided into two parts, the first part concern on simulation of the quadcopter on solidworks, and the second part concern on motion analysis of the the quadcopter.
Instructor: Eng. Ahmed Gad ( Solidworks certified )
These manuals are very important for solidworks learners.
Simulation + motion anaylsis + Mechatronics manuals
http://www.mediafire.com/view/d7412l5k2bs3957/PMT1142-ENG_SWM2011_DRAFT.pdf
http://www.mediafire.com/view/drelfifj0p6j1xe/PMT1340_SIM2013_DRAFT.pdf
http://www.mediafire.com/view/drelfifj0p6j1xe/PMT1340_SIM2013_DRAFT.pdf
Facebook page:
www.fb.com/uavclub
Website:
www.uavsc.com

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
This session reviews how engineering and science students use software simulation tools to develop a deeper understanding of complex multidomain applications. A quadcopter UAV example is used to showcase how the fundamental mathematics concepts introduced in the earlier years of a science or engineering degree work hand in hand with the higher-level numerical methods and control design concepts taught in the later years.
The session demonstrates:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (building, solving, implementing equations, and incorporating the rotation matrix concepts along the way)
How to linearize a 6-DOF model and design controllers for altitude and attitude control

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
This session reviews how engineering and science students use software simulation tools to develop a deeper understanding of complex multidomain applications. A quadcopter UAV example is used to showcase how the fundamental mathematics concepts introduced in the earlier years of a science or engineering degree work hand in hand with the higher-level numerical methods and control design concepts taught in the later years.
The session demonstrates:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (building, solving, implementing equations, and incorporating the rotation matrix concepts along the way)
How to linearize a 6-DOF model and design controllers for altitude and attitude control

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
This presentation demonstrates how engineering and science students can use the MATLAB technical computing environment to develop a deeper understanding of complex multi domain applications. A quadcopter UAV example is used as a case study to connect the fundamental mathematical concepts introduced in the earlier years of a science/engineering degree, to the numerical methods and control design concepts taught in the later years.
Using the quadcopter case study, we’ll demonstrate how the following deeper learning attributes are encouraged:
How complex problems can be broken down into a series of smaller problems.
How these smaller problems can then be “glued” together to form a holistic view of the original problem.
How curiosity is fostered by providing students with choices on how to solve a problem (eg: apps, code, block diagrams) – choices that encourage “creating” and “doing”
How independent exploration of concepts is encouraged via access to numerical computing libraries.
How positive emotions to learning are fostered by a HELP/DOC system that acts as an ever present companion during the learning and discovery process.
Some of the learning tasks considered in this presentation include:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (building, solving, implementing equations, and incorporating the rotation matrix concepts along the way)
How to linearize a 6-DOF model and design controllers for altitude and attitude control

14:41

Quadcopter Drone Flying Lessons

Want to learn to do more than just hover your quadcopter? This flight tutorial video will ...

Quadcopter Drone Flying Lessons

Want to learn to do more than just hover your quadcopter? This flight tutorial video will help you learn how to fly and turn your quadcopter. Horizontal translational flying is not obvious to most people. We'll start the lesson with simple out and back flying, progress through rudder turns, and complete the lesson with an intro to banked turning. Quadcopters used in this video included the:
Syma X5C http://www.banggood.com/Syma-X5C-Explorers-2_4G-4CH-RC-Quadcopter-Mode-2-With-Camera-p-913827.html?p=RB0922217402201307U3
WLToys V636 http://www.banggood.com/WLtoys-Skylark-V636-Headless-Mode-2_4G-4CH-6-Axis-RC-Quadcopter-RTF-p-938098.html?p=RB0922217402201307U3
MUSIC LICENSE
"Awel" by stefsax
http://ccmixter.org/files/stefsax/7785
is licensed under a Creative Commons license:
http://creativecommons.org/licenses/by/2.5/
music was shortened to fit length of video.

Vibration Analysis of a Quadcopter

Walt Bednarz puts the Prism Quadcopter through the paces of simulated vibration analysis using SOLIDWORKSSimulation. Let's see if the Prism Quadcopter will rattle apart once up and running. During this webinar, we will cover the use of natural frequency and forced vibration to validate designs.

4:57

Quadcopter Navigation in the Forest using Deep Neural Networks

We study the problem of perceiving forest or mountain trails from a single monocular image...

Quadcopter Navigation in the Forest using Deep Neural Networks

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image saliency or appearance contrast; we propose a different approach based on a DeepNeural Network used as a supervised image classifier. By operating on the whole image at once, our system outputs the main direction of the trail compared to the viewing direction. Qualitative and quantitative results computed on a large real-world dataset (which we provide for download) show that our approach outperforms alternatives, and yields an accuracy comparable to the accuracy of humans that are tested on the same image classification task. Preliminary results on using this information for quadrotor control in unseen trails are reported. To the best of our knowledge, this is the first paper that describes an approach to perceive forest trials which is demonstrated on a quadrotor micro aerial vehicle.
Reference:
A. Giusti, J. Guzzi, D.C. Ciresan, F. He, J.P. Rodrï¿½guez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. Di Caro, D. Scaramuzza, L.M. Gambardella
A Machine LearningApproach to Visual Perception of Forest Trails for Mobile RobotsIEEE Robotics and AutomationLetters (RA-L), pages 661 - 667, 2016
PDF: http://rpg.ifi.uzh.ch/docs/RAL16_Giusti.pdf
Datasets:
http://people.idsia.ch/~giusti/forest/web/
Affiliations:
Dalle Molle Institute for Artificial Intelligence (IDSIA), USI/SUPSI, Lugano Switzerland
http://www.idsia.ch/
Robotics and PerceptionGroup, University of Zurich, Switzerland
http://rpg.ifi.uzh.ch/
AAAIVideoCompetition 2016
http://aaaivideos.org

8:29

Building a Cheap Quadcopter At Home (1) - Lift Off

In this video I try to build a basic platform for a quadcopter with salvaged motors from s...

Building a Cheap Quadcopter At Home (1) - Lift Off

In this video I try to build a basic platform for a quadcopter with salvaged motors from small axial fans and some other household items.
These (like all PC-Fans) are powered by BLDCs (Brushles DC-Motors). You cannot reverse their rotation by changing the POLARITY . That only works with old fashioned "Brushed DC Motors".
Model number of the Server Power Supply: HP - DPS - 700 CB-A.
I recommend you not to buy this unit simply for this unit . A wide variety of fan -motors, salvagable from several devices / manufacturers could be used.
Support my channel:
Patreon:
https://www.patreon.com/TPAI
Paypal:
https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=inventordonations%40gmail%2ecom&lc=US&item_name=The%20Post%20Apocalyptic%20Inventor&no_note=0&currency_code=USD&bn=PP-DonationsBF%3abtn_donateCC_LG%2egif%3aNonHostedGuest

53:37

Embedded Programming for Quadcopters

Ryan Boland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone fr...

Embedded Programming for Quadcopters

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying.
We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information.
Slides: http://www.slideshare.net/ryanboland18/quad-stripped
Presented at Code & Supply in Pittsburgh, PA. Learn more at http://www.codeandsupply.co

5:03

Basic Physics of Drones

Video assignment for PHY201 (Physics) at Portland Community College (PCC).
The requiremen...

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
This presentation demonstrates how engineering and science students can use the MATLAB technical computing environment to develop a deeper understanding of complex multi domain applications. A quadcopter UAV example is used as a case study to connect the fundamental mathematical concepts introduced in the earlier years of a science/engineering degree, to the numerical methods and control design concepts taught in the later years.
Using the quadcopter case study, we’ll demonstrate how the following deeper learning attributes are encouraged:
How complex problems can be broken down into a series of smaller problems.
How these smaller problems can then be “glued” together to form a holistic view of the original problem.
How curiosity is fostered by providing students with choices on how to solve a problem (eg: apps, code, block diagrams) – choices that encourage “creating” and “doing”
How independent exploration of concepts is encouraged via access to numerical computing libraries.
How positive emotions to learning are fostered by a HELP/DOC system that acts as an ever present companion during the learning and discovery process.
Some of the learning tasks considered in this presentation include:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (building, solving, implementing equations, and incorporating the rotation matrix concepts along the way)
How to linearize a 6-DOF model and design controllers for altitude and attitude control

14:41

Quadcopter Drone Flying Lessons

Want to learn to do more than just hover your quadcopter? This flight tutorial video will ...

Quadcopter Drone Flying Lessons

Want to learn to do more than just hover your quadcopter? This flight tutorial video will help you learn how to fly and turn your quadcopter. Horizontal translational flying is not obvious to most people. We'll start the lesson with simple out and back flying, progress through rudder turns, and complete the lesson with an intro to banked turning. Quadcopters used in this video included the:
Syma X5C http://www.banggood.com/Syma-X5C-Explorers-2_4G-4CH-RC-Quadcopter-Mode-2-With-Camera-p-913827.html?p=RB0922217402201307U3
WLToys V636 http://www.banggood.com/WLtoys-Skylark-V636-Headless-Mode-2_4G-4CH-6-Axis-RC-Quadcopter-RTF-p-938098.html?p=RB0922217402201307U3
MUSIC LICENSE
"Awel" by stefsax
http://ccmixter.org/files/stefsax/7785
is licensed under a Creative Commons license:
http://creativecommons.org/licenses/by/2.5/
music was shortened to fit length of video.

Vibration Analysis of a Quadcopter

Walt Bednarz puts the Prism Quadcopter through the paces of simulated vibration analysis using SOLIDWORKSSimulation. Let's see if the Prism Quadcopter will rattle apart once up and running. During this webinar, we will cover the use of natural frequency and forced vibration to validate designs.

4:57

Quadcopter Navigation in the Forest using Deep Neural Networks

We study the problem of perceiving forest or mountain trails from a single monocular image...

Quadcopter Navigation in the Forest using Deep Neural Networks

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image saliency or appearance contrast; we propose a different approach based on a DeepNeural Network used as a supervised image classifier. By operating on the whole image at once, our system outputs the main direction of the trail compared to the viewing direction. Qualitative and quantitative results computed on a large real-world dataset (which we provide for download) show that our approach outperforms alternatives, and yields an accuracy comparable to the accuracy of humans that are tested on the same image classification task. Preliminary results on using this information for quadrotor control in unseen trails are reported. To the best of our knowledge, this is the first paper that describes an approach to perceive forest trials which is demonstrated on a quadrotor micro aerial vehicle.
Reference:
A. Giusti, J. Guzzi, D.C. Ciresan, F. He, J.P. Rodrï¿½guez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. Di Caro, D. Scaramuzza, L.M. Gambardella
A Machine LearningApproach to Visual Perception of Forest Trails for Mobile RobotsIEEE Robotics and AutomationLetters (RA-L), pages 661 - 667, 2016
PDF: http://rpg.ifi.uzh.ch/docs/RAL16_Giusti.pdf
Datasets:
http://people.idsia.ch/~giusti/forest/web/
Affiliations:
Dalle Molle Institute for Artificial Intelligence (IDSIA), USI/SUPSI, Lugano Switzerland
http://www.idsia.ch/
Robotics and PerceptionGroup, University of Zurich, Switzerland
http://rpg.ifi.uzh.ch/
AAAIVideoCompetition 2016
http://aaaivideos.org

8:29

Building a Cheap Quadcopter At Home (1) - Lift Off

In this video I try to build a basic platform for a quadcopter with salvaged motors from s...

Building a Cheap Quadcopter At Home (1) - Lift Off

In this video I try to build a basic platform for a quadcopter with salvaged motors from small axial fans and some other household items.
These (like all PC-Fans) are powered by BLDCs (Brushles DC-Motors). You cannot reverse their rotation by changing the POLARITY . That only works with old fashioned "Brushed DC Motors".
Model number of the Server Power Supply: HP - DPS - 700 CB-A.
I recommend you not to buy this unit simply for this unit . A wide variety of fan -motors, salvagable from several devices / manufacturers could be used.
Support my channel:
Patreon:
https://www.patreon.com/TPAI
Paypal:
https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=inventordonations%40gmail%2ecom&lc=US&item_name=The%20Post%20Apocalyptic%20Inventor&no_note=0&currency_code=USD&bn=PP-DonationsBF%3abtn_donateCC_LG%2egif%3aNonHostedGuest

53:37

Embedded Programming for Quadcopters

Ryan Boland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone fr...

Embedded Programming for Quadcopters

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying.
We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information.
Slides: http://www.slideshare.net/ryanboland18/quad-stripped
Presented at Code & Supply in Pittsburgh, PA. Learn more at http://www.codeandsupply.co

5:03

Basic Physics of Drones

Video assignment for PHY201 (Physics) at Portland Community College (PCC).
The requiremen...

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
This presentation demonstrates how engineering and science students can use the MATLAB technical computing environment to develop a deeper understanding of complex multi domain applications. A quadcopter UAV example is used as a case study to connect the fundamental mathematical concepts introduced in the earlier years of a science/engineering degree, to the numerical methods and control design concepts taught in the later years.
Using the quadcopter case study, we’ll demonstrate how the following deeper learning attributes are encouraged:
How complex problems can be broken down into a series of smaller problems.
How these smaller problems can then be “glued” together to form a holistic view of the original problem.
How curiosity is fostered by providing students with choices on how to solve a problem (eg: apps, code, block diagrams) – choices that encourage “creating” and “doing”
How independent exploration of concepts is encouraged via access to numerical computing libraries.
How positive emotions to learning are fostered by a HELP/DOC system that acts as an ever present companion during the learning and discovery process.
Some of the learning tasks considered in this presentation include:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (building, solving, implementing equations, and incorporating the rotation matrix concepts along the way)
How to linearize a 6-DOF model and design controllers for altitude and attitude control

Vibration Analysis of a Quadcopter

Walt Bednarz puts the Prism Quadcopter through the paces of simulated vibration analysis using SOLIDWORKSSimulation. Let's see if the Prism Quadcopter will rattle apart once up and running. During this webinar, we will cover the use of natural frequency and forced vibration to validate designs.

53:37

Embedded Programming for Quadcopters

Ryan Boland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone fr...

Embedded Programming for Quadcopters

RyanBoland on Embedded Programming for Quadcopters
Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying.
We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information.
Slides: http://www.slideshare.net/ryanboland18/quad-stripped
Presented at Code & Supply in Pittsburgh, PA. Learn more at http://www.codeandsupply.co

37:57

Quadcopter Simulation and Control Made Easy - MATLAB and Simulink Video

See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1
Downloa...

Quadcopter Simulation and Control Made Easy - MATLAB and Simulink Video

See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1
Download a trial: https://goo.gl/PSa78r
Join MathWorks engineer, Ryan Gordon, as he demonstrates how to build a quadcopter simulation by importing data from a 3D CAD program into Simulink. Using this simulation he will then design a simple controller that will allow the vehicle to take off and hover. The modeling, simulation, and control principles used in this webinar can be applied to systems of varying complexity.
About the Presenter: Ryan Gordon has over 6 years of experience with MATLAB and Simulink. Prior to joining MathWorks Ryan developed guidance and control systems for unmanned aircraft.

41:05

Stress Analysis of a Quadcopter

The first of a 3 part webinar series. Walt Bednarz puts the Prism Quadcopter through the p...

Stress Analysis of a Quadcopter

The first of a 3 part webinar series. Walt Bednarz puts the Prism Quadcopter through the paces of simulated stress analysis using SOLIDWORKSSimulation. Watch to see if the Prism Quadcopter passes or fails as it is put through the paces of structural loading! Walt covers how you can use linear and nonlinear tools to validate designs

2:07:29

Solidworks tutorial | sketch Quadcopter (Drone) in Solidworks

in this tutorial video i will sketch 3D Printed Mini-Quadcopter (Drone) in Solidworks with...

Tutorial 3 Quadcopter simulation and motion analysis by using solidworks

This is the third video of " Make your drone" educational series, it's divided into two parts, the first part concern on simulation of the quadcopter on solidworks, and the second part concern on motion analysis of the the quadcopter.
Instructor: Eng. Ahmed Gad ( Solidworks certified )
These manuals are very important for solidworks learners.
Simulation + motion anaylsis + Mechatronics manuals
http://www.mediafire.com/view/d7412l5k2bs3957/PMT1142-ENG_SWM2011_DRAFT.pdf
http://www.mediafire.com/view/drelfifj0p6j1xe/PMT1340_SIM2013_DRAFT.pdf
http://www.mediafire.com/view/drelfifj0p6j1xe/PMT1340_SIM2013_DRAFT.pdf
Facebook page:
www.fb.com/uavclub
Website:
www.uavsc.com

Modelling Simulation and Control of a Quadcopter - MATLAB and Simulink Video

FreeMATLABTrial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
This session reviews how engineering and science students use software simulation tools to develop a deeper understanding of complex multidomain applications. A quadcopter UAV example is used to showcase how the fundamental mathematics concepts introduced in the earlier years of a science or engineering degree work hand in hand with the higher-level numerical methods and control design concepts taught in the later years.
The session demonstrates:
How the new MATLAB® Live Editor can demystify rotation matrix sequences and enliven the teaching of concepts associated with moments of inertia
How Simulink® can model and solve the 6-DOF equations of motion of a rigid body (building, solving, implementing equations, and incorporating the rotation matrix concepts along the way)
How to linearize a 6-DOF model and design controllers for altitude and attitude control

Quadcopter Modelling and simulation - a case study...

Vibration Analysis of a Quadcopter...

Embedded Programming for Quadcopters...

Quadcopter Simulation and Control Made Easy - MATL...

Stress Analysis of a Quadcopter...

Solidworks tutorial | sketch Quadcopter (Drone) in...

Cheap-ass quadcopter build Part 4 - Motors...

Tutorial 3 Quadcopter simulation and motion analys...

How To Build a Eachine Racer 250 DIY Kit Naze32 | ...

Modelling Simulation and Control of a Quadcopter -...

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The number of asylum seekers who are illegally crossing into Canada from the United States more than tripled last month, according to new data released on Thursday by the Canadian government which hints at the deep fears that migrants have about the recent U.S. administration immigration crackdown ...The RoyalCanadian Mounted Police said that an additional 3,800 asylum seekers were arrested crossing the U.S ... "It's not a crisis ... ....

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